Xianda Zheng

According to our database, Xianda Zheng authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts.

Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang, Michael J. Witbrock, Kaiqi Zhao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision.

Xianda Zheng, Huan Gao, Meng-Fen Chiang, Michael J. Witbrock, Kaiqi Zhao, Shangyang Li

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs.

Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Michael J. Witbrock, Kaiqi Zhao

CoRR, August, 2025

2024

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models.

Sijie Wang, Lin Ni, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Jiamou Liu

Pattern Recognit. Lett., 2024

SKGSum: Structured Knowledge-Guided Document Summarization.

Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy.

Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CSG: Curriculum Representation Learning for Signed Graph.

Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang

CoRR, 2023

SGA: A Graph Augmentation Method for Signed Graph Neural Networks.

Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao

CoRR, 2023

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks.

Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang

Proceedings of the ACM Web Conference 2023, 2023

Contrastive Learning for Signed Bipartite Graphs.

Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Legal Judgment Summarization: A Structure-Enhanced Approach.

Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring.

Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Xianda Zheng, Gong Cheng, Ahmet Soylu, Evgeny Kharlamov

Proceedings of the Semantic Web - ISWC 2022, 2022

2021

Towards Balanced Defect Prediction with Better Information Propagation.

Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Cosine-Based Embedding for Completing Schematic Knowledge.

Huan Gao, Xianda Zheng, Weizhuo Li, Guilin Qi, Meng Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Exploring the Generalization of Knowledge Graph Embedding.

Liang Zhang, Huan Gao, Xianda Zheng, Guilin Qi, Jiming Liu

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019